It tells you if there is a relationship between two variables in a set of data, and if so, what kind of relationship.
The correlation coefficient, r, can be between -1 and 1.
If r = 1, there is exact direct variation (when x goes up, y goes up; the relationship is represented by a line with a slope of 1)
If r = -1, there is exact inverse variation (when x goes up, y goes down; the relationship is represented by a line with a slope of -1)
If r = -1, the variables aren't related.
If r = some other number between -1 and 1, the relationship is correspondingly stronger or weaker.
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Yes it can be a correlation coefficient.
No, it cannot be a correlation coefficient.
Evidence that there is no correlation.
A coefficient of zero means there is no correlation between two variables. A coefficient of -1 indicates strong negative correlation, while +1 suggests strong positive correlation.
The correlation coefficient is symmetrical with respect to X and Y i.e.The correlation coefficient is the geometric mean of the two regression coefficients. or .The correlation coefficient lies between -1 and 1. i.e. .